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Researcher
Marco Ganzetti
- Disciplines:Human movement and sports sciences
Affiliations
- Movement Control & Neuroplasticity Research Group (Division)
Member
From1 Sep 2016 → 15 Mar 2019
Projects
1 - 1 of 1
- Functional connectivity in the brain during motor coordination with high-density electroencephalographyFrom1 Oct 2016 → 16 Mar 2019Funding: FWO fellowships
Publications
1 - 10 of 10
- fMRI data processing in MRTOOL: to what extent does anatomical registration affect the reliability of functional results?(2019)
Authors: Marco Ganzetti, Gaia Taberna, Dante Mantini
Pages: 1538 - 1553 - Online EEG artifact removal for BCI applications by adaptive spatial filtering(2018)
Authors: Roberto Guarnieri, Marco Marino, Marco Ganzetti, Dante Mantini
- Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization(2018)
Authors: Marco Ganzetti, Dante Mantini
- A Spatial Registration Toolbox for Structural MR Imaging of the Aging Brain(2018)
Authors: Marco Ganzetti, Dante Mantini
Pages: 167 - 179 - Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI? (vol 127, pg 242, 2016)(2016)
Authors: R Hindriks, MH Adhikari, Y Murayama, Marco Ganzetti, Dante Mantini, NK Logothetis, G Deco
Pages: 115 - 115 - Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?(2016)
Authors: Marco Ganzetti, Dante Mantini
Pages: 242 - 56 - Quantitative Evaluation of Intensity Inhomogeneity Correction Methods for Structural MR Brain Images(2016)
Authors: Marco Ganzetti, Nici Wenderoth, Dante Mantini
Pages: 5 - 21 - Intensity Inhomogeneity Correction of Structural MR Images: A Data-Driven Approach to Define Input Algorithm Parameters(2016)
Authors: Marco Ganzetti, Nici Wenderoth, Dante Mantini
Pages: 10 - Mapping pathological changes in brain structure by combining T1- and T2-weighted MR imaging data(2015)
Authors: Marco Ganzetti, Nici Wenderoth, Dante Mantini
Pages: 917 - 28 - Whole brain myelin mapping using T1-and T2-weighted MR imaging data(2014)
Authors: Marco Ganzetti, Nici Wenderoth, Dante Mantini